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list_views

Retrieve all view names from a PostgreSQL schema to analyze database structure and understand available data perspectives.

Instructions

List all views in a schema.

Args: schema: Schema name (default: public) Returns: List of views with name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaNopublic

Implementation Reference

  • MCP tool handler for 'list_views'. Registered via @mcp.tool() decorator. Executes the tool logic by calling PostgresClient.list_views() and formatting the response using ViewSummary models.
    @mcp.tool() @handle_db_error def list_views(schema: str = "public") -> dict: """List all views in a schema. Args: schema: Schema name (default: public) Returns: List of views with name """ client = get_client() views = client.list_views(schema) return { "schema": schema, "views": [ViewSummary.from_row(v).model_dump() for v in views], }
  • The @mcp.tool() decorator registers the list_views function as an MCP tool.
    @mcp.tool()
  • Pydantic BaseModel defining the output schema for view summaries. Used to serialize raw database rows into structured responses.
    class ViewSummary(BaseModel): """View info for list responses.""" name: str schema_name: str = "public" @classmethod def from_row(cls, row: dict) -> "ViewSummary": return cls( name=row.get("table_name", ""), schema_name=row.get("table_schema", "public"), )
  • Core helper method in PostgresClient that executes the SQL query to retrieve views from information_schema.views.
    def list_views(self, schema: str = "public") -> list[dict]: """List views in a schema. Args: schema: Schema name Returns: List of view dicts """ query = """ SELECT table_name, table_schema FROM information_schema.views WHERE table_schema = %s ORDER BY table_name """ with self.get_cursor() as cursor: cursor.execute(query, (schema,)) return [dict(row) for row in cursor.fetchall()]

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